Skip to main navigation Skip to search Skip to main content

The excitement open platform for textual inferences

  • Bernardo Magnini
  • , Roberto Zanoli
  • , Ido Dagan
  • , Kathrin Eichler
  • , Günter Neumann
  • , Tae Gil Noh
  • , Sebastian Pado
  • , Asher Stern
  • , Omer Levy
  • FBK
  • German Research Center for Artificial Intelligence
  • University of Stuttgart
  • Bar-Ilan University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

52 Scopus citations

Abstract

This paper presents the Excitement Open Platform (EOP), a generic architecture and a comprehensive implementation for textual inference in multiple languages. The platform includes state-of-art algorithms, a large number of knowledge resources, and facilities for experimenting and testing innovative approaches. The EOP is distributed as an open source software.

Original languageEnglish
Title of host publicationACL 2014 - 52nd Annual Meeting of the Association for Computational Linguistics, Proceedings of the Student Research Workshop
EditorsKalina Bontcheva, Ekaterina Kochmar, Jingbo Zhu, Annie Louis, Svitlana Volkova, Jordan Boyd-Graber, Bill Byrne
PublisherAssociation for Computational Linguistics (ACL)
Pages43-48
Number of pages6
ISBN (Electronic)9781937284794, 9781941643006
StatePublished - 2014
Event52nd Annual Meeting of the Association for Computational Linguistics, ACL 2014 - Baltimore, MD, United States
Duration: 22 Jun 201427 Jun 2014

Publication series

NameProceedings of the Annual Meeting of the Association for Computational Linguistics
Volume2014-June
ISSN (Print)0736-587X

Conference

Conference52nd Annual Meeting of the Association for Computational Linguistics, ACL 2014
Country/TerritoryUnited States
CityBaltimore, MD
Period22/06/1427/06/14

Bibliographical note

Publisher Copyright:
© 2014 Association for Computational Linguistics.

Funding

This work was partially supported by the EC funded project EXCITEMENT (FP7ICT-287923). This work was partially supported by the EC-funded project EXCITEMENT (FP7ICT-287923).

FundersFunder number
European CommissionFP7ICT-287923

    Fingerprint

    Dive into the research topics of 'The excitement open platform for textual inferences'. Together they form a unique fingerprint.

    Cite this